Ellis Hughes

Hello Kitty: Intro to {purrr} | TidyX Ep 184!

Patrick Ward and I do an introduction to our favorite cat-sound based package, and go over how to use purrr for consistent outputs or pass functions in a variety of ways!

Bit.ly/TidyX_Ep184

#TidyX #rstats #tidyverse #purrr

Inspired by abstract_tyler on Instagram, the latest #TidyX uses R to unravel the impastable truth: How many SpaghettiOs to write Lord of the Rings?

bit.ly/TidyX_Ep179

#RStats #DataScience #LOTR

🚀⚾️ Dive into AI with TidyX Episode 174: AI Speed Ball: Predicting the 2024 Pitcher HOF Class in 20 Minutes

Patrick Ward and I use AI to predict which pitchers should get in this year!

🎯 Don't miss this perfect game of an episode!

#TidyX #AI #MLB

Bit.ly/TidyX_Ep174

TidyX Episode 172: predicting hall of fame pitchers in 20 min! Discover how Lahman package, logistic regression, and model inspection for MLB Hall of Fame pitchers in 2024.

Explore the art of modeling with us! ⚾🔍 #MLBHOF #PredictiveAnalytics #TidyX172

Bit.ly/TidyX_Ep172

Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊

Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️

Bit.ly/TidyX_Ep171

#RStats #BayesianStats #TidyXExplained

🚀 Dive into the magic of making expressions in for loops with #TidyX Episode 170! 🧙‍♂️✨

Explore advanced coding techniques and elevate your skills in writing tidyverse based functions and nonstandard evaluation!

bit.ly/TidyX_Ep170

#RStats #DataScience #CodingTips

Step up to the plate with #TidyX Episode 169! ⚾

Join Patrick Ward and Me for a rapid 20-minute data prep and analysis to predict the @MLB Hall of Fame Class of 2024

Using #tidyverse and #rstats we forecast eligible player probabilities @baseballhall

bit.ly/TidyX_Ep169

What does your batting average need to be to be a hall of fame baseball player?

Patrick Ward and I look at this among other questions using only Base R plotting tools, including making a plot interactive!

#rstats #BaseBall #baseR

Bit.ly/TidyX_Ep168

Base R plots - oft overlooked for the powerful ggplot2- offer a surprising amount of power if you take the time to learn it!

Join Patrick Ward and I as we talk through making scatter plots in #rstats !

#baseR #scatterplots #dataviz

Bit.ly/TidyX_Ep165

Curious how to make a shiny apps update and pull data from external sources?

Join @OSPpatrick and I as we show how to set up a shiny app to scrape data, and update the ui to include a link back to the source data for more exploration!

#rstats #shiny #TidyX

Bit.ly/TidyX_Ep162

Pre-populating your shiny app with specific values your specific user is interested in sounds like a pipe dream...

But we are here to tell you it isn't! Join @OSPpatrick and Me for epsiode 160 of #tidyX, covering how to update your shiny from the url!

#rstats #shiny

Bit.ly/TidyX_Ep160

I'd love to hear what has been your favorite @tidy_explained episode so far!

With 156 episodes, there is lots to pick from!

I am proud of what @OSPpatrick and I have made, and look forward to continuing to learn and share with our community!

#rstats #TidyX

Never late than never, episode 155 of #TidyX is live!

@OSPpatrick and I go over principles of function writing in preparation of creating an #rstats package based on #TidyX code!

Bit.ly/TidyX_Ep155

Hit a pretty big milestone today - 3k subscribers to #TidyX!

When I started this project with Patrick Ward, I wasn't sure how long it would go or if there was even anyone that would watch.

Thrilled to get here and looking forward to what's next. Our viewers are the best!

Document your data packages! Join @OSPpatrick and I for #TidyX 154 where we make an #rstats package to serve @f1 championships data!

We go through writing out your #Roxygen tags and creating a vignette as well!

Bit.ly/TidyX_Ep154

So you've got your data, how do you start making your #rstats data package? Join @OSPpatrick and I for #TidyX 153 for the answers!

We use last weeks data to create the package framework and beginning steps to have the package serve our now versioned data

Bit.ly/TidyX_Ep153

Episode 152 of #TidyX is now live!

Join us for part 1 in our series on Data Packaging - where we take historical @F1 data to construct an #rstats package!

This first part is showing how to perform web scraping to pull 1950-2020 championship standings

bit.ly/TidyX_152

If you've been enjoying the latest #TidyX series on creating a shiny model builder, check out some of our earlier content!

In episode 25 Patrick Ward and I did an introduction to shiny, and in episodes 26 and 27 we created a shiny version of the 538 CARMELO tool!

As the series finale, we had the shiny man himself, Eric Nantz, join us to discuss shiny and go through a fun app he made!

Bit.ly/TidyX_Ep25
Bit.ly/TidyX_Ep26
Bit.ly/TidyX_Ep27
Bit.ly/TidyX_Ep32

#rstats #shiny

In #TidyX Episode 151, @OSPpatrick and I add tree based models into our #rstats #shiny model builder!

We demonstrate how to set up a radio button to select from 3 different models, and how to pass this information along to other parts of the app!

Bit.ly/TidyX_Ep151

Check out #TidyX Episode 150 with @OSPpatrick !

We continue our shiny model builder series, this time focusing on making sure to protect our users. We demonstrate 2 methods to ensure your users can't select the outcome as a predictor!

#rstats #shiny

Bit.ly/TidyX_Ep150

Empower your stakeholders with the power to perform simple stat analysis with #rstats #shiny!

Learn in #TidyX Episode 148 how Patrick Ward and I made a simple app that allowed users to upload data and perform linear regressions, getting summaries out!

Bit.ly/TidyX_Ep148

How do you make a report from your #shiny app?

Learn how with Patrick Ward and I in epsiode 147 of #TidyX! We expand on epsiode 146, discussing techniques and use some fun {shinyjs} to enable and disable buttons!

#rstats #datascience #reports

Bit.ly/TidyX_Ep147

Join @OSPpatrick and I for episode 146 of #TidyX!

#shiny is a great tool for empowering your users, but how do they get that data they worked to curate and view?

Enter download handlers! We show 2 methods for downloading content

#rstats #DataScience

Bit.ly/TidyX_Ep146

#TidyX Episode 144 is about nested for loops!

Join @OSPpatrick and I for more on loops, this time simulating data! We show how to iterate over multiple combinations of variables, generating data, modeling it, and extracting the values for later use

#rstats

Bit.ly/TidyX_Ep144

Loops are a flow control that can have a massive impact on what you can do later on, so how you set up your loop has a strong impact on code readability

Check out #TidyX 143 to see a few ways to approach setting up loops in #rstats!

Bit.ly/TidyX_Ep143

#TidyX Episode 142 is now live!

Join @OSPpatrick and I for an episode where we cover 4 ways for you to pull data from an artesian home brewed k-fold regression in a for loop!

These concepts can be broadly applied to a variety of situations.

#rstats #datascience

Bit.ly/TidyX_Ep142

Learn about Function Factories in #TidyX Episode 141!

Join @OSPpatrick and I as we do an intro to how function factories are used commonly, and you have used them without even knowing! We then inspect their structure!

#Rstats #DataScience

Bit.ly/TidyX_Ep141

Join @OSPpatrick and I for episode 140 of #TidyX!

We answer a question from a viewer on how to display data from a dataframe in a single column. Patrick and I show a few ways we interpreted the question and approaches to solve it!

#rstats #DataScience

Bit.ly/TidyX_Ep140

How can you be lazy and still have your reports be run and shared with stakeholders every morning.

Cron jobs!

Check out #TidyX Episode 135 with @OSPpatrick where we show how to make a report run automatically every day on github.

#rstats #datascience

Bit.ly/TidyX_Ep135

TidyX 129 was just recorded and will be posted tonight at midnight. Looking forward to hopefully spready some holiday cheer.

Any guesses what we talk about? #rstats #tidyX